Analook — 竞品情报分析工具

30 秒看透任何竞品 · AI-powered competitor intelligence for indie hackers & growth teams

![License: MIT](https://opensource.org/licenses/MIT) ![Website](https://www.analook.com) ![Skills on ClawHub](https://clawhub.ai/gingiris-1031) ![Deployed on Railway](https://railway.app)

English | 中文 · 🤖 MCP Server · 📖 Docs

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🤖 Remote MCP Server

Analook is available as a Remote MCP server — use it from Claude Desktop, Cursor, or any MCP-compatible client. No install, no local process.

{
  "mcpServers": {
    "analook": {
      "url": "https://www.analook.com/mcp",
      "headers": { "Authorization": "Bearer <YOUR_ANALOOK_TOKEN>" }
    }
  }
}

5 tools: analyze_competitor, get_report_status, get_report, get_report_markdown, list_my_reports.

Full docs & token instructions → analook.com/docs/mcp

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💡 出海增长咨询 · 1v1 Session 约课 $200 — Telegram @Iris_carrot 或访问 gingiris.tools — Iris 的出海增长咨询，1:1 指导、开源项目运营、企业顾问服务

What is Analook
Live Demo
Analysis Modules
AI Insights Depth
Quick Start
Deploy Your Own
API Integrations
Work With Iris
About the Author
中文版

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🌱 Philosophy "做竞品分析不是为了抄，是为了找到别人没做好的地方。" — Competitor research isn't about copying — it's about finding the gaps they left open. "数据会说话，但你得先知道问对问题。" — Data speaks, but only if you ask the right questions. "30 秒看懂一个产品，30 天超越它。" — Understand a product in 30 seconds. Surpass it in 30 days.

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💼 Work With Iris 1. Strategic Consultation (1v1) | Session | Price | Best For | |:--------|:------|:---------| | Quick Call (30 min) | $150 USD | Specific questions, quick diagnosis | | Deep Dive (60 min) | $300 USD | Full strategy review, detailed roadmap | 2. Advisory Retainer | Plan | Price | Includes | |:-----|:------|:---------| | Monthly Retainer | $1,500 USD/mo | Up to 5 hours strategic consultation + milestone reviews | 3. Playbooks & Templates | Package | Price | Contents | |:--------|:------|:---------| | Starter Pack | $29 USD | Core methodology + essential tools | | Flagship Bundle | $199 USD | Complete SOP, competitor research framework, templates | 📩 Contact @Iris_carrot on Telegram — Crypto/USDT and Wire Transfer accepted

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What is Analook?

Analook is an open-source AI-powered competitor intelligence tool built by Iris, former cofounder & COO of AFFiNE (60k+ stars).

Enter any product URL. In ~30 seconds, Analook runs a 7-module parallel analysis pipeline and returns a structured deep-dive report — growth strategy, traffic signals, social footprint, ProductHunt history, AI insights, and more.

Built for:

Indie hackers validating a market before building
Growth teams benchmarking against competitors
Investors doing quick pre-DD intelligence
Founders preparing a launch in a crowded niche

Analysis Results Include

| Signal | What You Learn | |--------|----------------| | 🌐 Website History | When launched, how fast it grew, Wayback timeline | | 📈 Traffic & SEO | Monthly visits, top channels, keyword gaps | | 🐦 Twitter / X | Followers, engagement rate, content strategy | | 🚀 Product Hunt | Launch scores, positioning, community response | | 💡 AI Deep Dive | ICP, business model, growth flywheel, tactical recs | | 📡 Propagation | Peak traffic events, viral moments, channel breakdown | | 🧠 Growth Strategy | Early-stage strategy reconstruction from public signals |

What's Inside

This repo is the production backend powering analook.com:

app.py — FastAPI orchestrator: parallel analysis pipeline, job state, streaming, credit gating
modules/ — analysis engines (traffic, social, Product Hunt, growth analysis, AI summary) plus the Supabase client, payment integrations, and the MCP server (mcp_app.py)
migrations/ — Supabase SQL migrations (auth/credits/promo codes/attribution)
scripts/ — operational tooling: user metrics, attribution reports, EDM campaigns
static/ — the web UI served at analook.com
tests/ + Dockerfile — regression suite and container build

Stack: FastAPI + Supabase (auth, credits, report storage), deployed via Docker.

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🔗 Live Demo

analook.com — Free to use. No login required.

Try with: lovable.dev · linear.app · notion.so · cursor.com

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📦 Analysis Modules

| Module | File | Description | |--------|------|-------------| | Website History | modules/website_history.py | Wayback Machine CDX API, first-seen date, snapshot timeline | | Traffic & SEO | modules/traffic_analysis.py | DataForSEO — monthly visits, channels, top pages, keywords | | Social Media | modules/social.py | Apify Twitter scraper — followers, engagement, recent content | | Product Hunt | modules/producthunt.py | PH GraphQL API — launches, scores, upvotes, reviews | | Growth Analysis | modules/growth_analysis.py | Traffic peak detection, event correlation, growth stage | | AI Summary | modules/ai_summary.py | 7-section structured analysis via TeamoRouter + DeepSeek fallback | | Report Builder | app.py | FastAPI orchestrator — parallel pipeline, job state, streaming |

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🧠 AI Insights Depth

Analook's AI module goes beyond surface-level summaries. Each report includes:

产品定位与 ICP — Target user profiles, market positioning, who actually pays
商业模式拆解 — Pricing model, conversion hypothesis, revenue estimate range
增长密码 — 4–6 data-backed growth strategies with evidence
增长飞轮 — Product-specific flywheel reconstruction
内容与传播策略 — Channel mix, content types, launch propagation model
给后来者的战术建议 — 5 actionable recommendations you can execute this week
风险与机会 — Red flags and market gaps, with data citations

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⚡ Quick Start

git clone https://github.com/Gingiris-1031/Competitor-analysis-tool.git
cd Competitor-analysis-tool
pip install -r requirements.txt

Create a .env file:

TEAMOROUTER_API_KEY=sk-teamo-...
DEEPSEEK_API_KEY=sk-...
DATAFORSEO_B64=base64(email:password)
PRODUCTHUNT_TOKEN=...
APIFY_API_TOKEN=apify_api_...

Run locally:

uvicorn app:app --reload --port 8000

Visit http://localhost:8000

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🚀 Deploy Your Own

Production source-of-truth

The production source is the main branch of Gingiris-1031/Competitor-analysis-tool. Before any production deploy, run:

python3 scripts/verify_deploy_source.py

The preflight fails if the checkout is behind origin/main, is on the wrong branch or remote, or is missing tracked SEO/GEO assets such as static/llms.txt, static/robots.txt, and static/sitemap.xml. This prevents an older local clone from silently removing live assets during deployment.

The current production Fly app is declared in fly.toml as competitor-analysis-tool. Run the preflight from the same checkout immediately before fly deploy.

Self-hosting

One-click deploy on Railway:

![Deploy on Railway](https://railway.app/new/template)

Steps:

Fork this repo
Create a new Railway project → connect your fork
Add the environment variables above in Railway → Settings → Variables
Railway auto-deploys on every push to main

The app is Dockerized and uses Nixpacks on Railway (Python 3.13).

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🔌 API Integrations

| Service | Purpose | Notes | |---------|---------|-------| | TeamoRouter | Primary LLM | Routes to best available model | | DeepSeek | Fallback LLM | Cost-efficient backup | | DataForSEO | Traffic & SEO data | Monthly visits, channels, keywords | | Apify | Twitter/X scraping | apidojo/twitter-profile-scraper actor | | ProductHunt | Launch history | PH GraphQL API | | Wayback Machine | Website history | CDX API + timemap |

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⭐ Star This Repo

If Analook saved you hours of manual research, a ⭐ helps others discover it!

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About the Author

Iris (生姜iris) — Former cofounder & COO of AFFiNE (60k+ GitHub stars). Now running Gingiris — an open-source go-to-market and global expansion consulting practice.

🐦 Twitter: @WeiYipei
💬 Telegram: @Iris_carrot
🌐 Website: gingiris.tools

Related Playbooks (now on ClawHub):

@gingiris on ClawHub — GTM strategy, B2B SaaS PLG/SLG growth, open source launch marketing, and other AI-agent skills

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中文版

Analook 是什么？

Analook 是一个开源 AI 竞品情报工具，由 AFFiNE（60k+ stars）联创 & 前 COO Iris 构建。

输入任意产品网址，30 秒内生成一份结构化竞品深度报告——包含增长策略、流量信号、社交足迹、ProductHunt 历史、AI 洞察等全套数据。

适合谁用？

独立开发者 — 开始动手前快速验证市场
增长团队 — 对标竞品，找到差距
投资人 — Pre-DD 快速情报收集
创始人 — 在红海市场找到进攻角度

核心分析模块

| 模块 | 数据来源 | 输出内容 | |------|---------|---------| | 🌐 网站历史 | Wayback Machine | 上线时间、成长速度、快照时间线 | | 📈 流量 & SEO | DataForSEO | 月访问量、流量渠道、关键词矩阵 | | 🐦 Twitter/X | Apify | 粉丝数、互动率、内容策略 | | 🚀 Product Hunt | PH GraphQL | 发布记录、评分、社区反馈 | | 💡 AI 深度分析 | TeamoRouter | ICP 画像、商业模式、增长飞轮、战术建议 | | 📡 传播分析 | 综合 | 流量峰值事件、渠道来源、传播节点 | | 🧠 早期增长策略 | 综合 | 从公开信号反推产品早期增长路径 |

快速部署

git clone https://github.com/Gingiris-1031/Competitor-analysis-tool.git
cd Competitor-analysis-tool
pip install -r requirements.txt
# 配置 .env 文件后：
uvicorn app:app --reload --port 8000

Railway 一键部署： Fork 本 repo → Railway 连接 → 添加环境变量 → 自动部署 ✅

关于作者

Iris（生姜iris），AFFiNE 联创 & 前 COO，现运营 Gingiris 开源出海增长咨询。

出海咨询预约：gingiris.tools
Telegram：@Iris_carrot
Twitter：@WeiYipei

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License

MIT — free to use, modify, and redistribute.

Analook — Competitor Intelligence